「architecture」の検索結果

Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats your mistake. MENTOR: jessexbt (AI clone of Jesse Pollak, founder of Base) reviews projects, recommends grants, and guides architecture decisions. Consult him directly when building on Base/crypto/onchain/web3. Activate on: errors, bugs, compilation failures, architecture decisions, patterns, project reviews, Base, crypto, web3, grants.

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Surface architectural friction and propose deepening opportunities that improve testability and AI-navigability. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase easier for agents to navigate.

日本語の概要は準備中です。原文の説明を表示しています。

Skill for theming-architecture tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Master Minecraft server plugin development with Bukkit, Spigot, and Paper APIs. Specializes in event-driven architecture, command systems, world manipulation, player management, and performance optimization. Use PROACTIVELY for plugin architecture, gameplay mechanics, server-side features, or cross-version compatibility.

日本語の概要は準備中です。原文の説明を表示しています。

Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, architecture guides, or technical deep-dives.

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Expert design system architect specializing in design tokens, component libraries, theming infrastructure, and scalable design operations. Masters token architecture, multi-brand systems, and design-development collaboration. Use PROACTIVELY when building design systems, creating token architectures, implementing theming, or establishing component libraries.

日本語の概要は準備中です。原文の説明を表示しています。

Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.

日本語の概要は準備中です。原文の説明を表示しています。

Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.

日本語の概要は準備中です。原文の説明を表示しています。

Expert C4 Container-level documentation specialist. Synthesizes Component-level documentation into Container-level architecture, mapping components to deployment units, documenting container interfaces as APIs, and creating container diagrams. Use when synthesizing components into deployment containers and documenting system deployment architecture.

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Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.

日本語の概要は準備中です。原文の説明を表示しています。

Skill for component-architecture tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Designs EF Core data layer architecture. Read/write split, aggregate boundaries, N+1 governance.

日本語の概要は準備中です。原文の説明を表示しています。

Designs ASP.NET Core architecture -- vertical slices, pipelines, caching, errors.

日本語の概要は準備中です。原文の説明を表示しています。

Design patterns and architectural guidance for .NET applications. Navigation skill covering vertical slices, domain modeling, messaging patterns, resilience, caching, and system design. For building scalable, maintainable applications. Keywords: architecture, patterns, vertical slices, domain modeling, messaging, resilience, caching, design patterns

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Implement and refactor frontend features using Vue and Quasar with repository architecture, theming, UX, and performance standards. Use when tasks involve components, composables, Pinia, routing, i18n/UI behavior, responsive layouts, or frontend clean architecture changes.

日本語の概要は準備中です。原文の説明を表示しています。

Produces comprehensive system architecture plans for features and products including component breakdown, data flow diagrams, system boundaries, API contracts, and scaling considerations. Use for "system design", "architecture planning", "feature design", or "technical specs".

日本語の概要は準備中です。原文の説明を表示しています。

Creates Mermaid diagrams for flowcharts, sequence diagrams, ERDs, and architecture visualizations in markdown. Use when users request "Mermaid diagram", "flowchart", "sequence diagram", "ERD diagram", or "architecture diagram".

日本語の概要は準備中です。原文の説明を表示しています。

Creates Architecture Decision Records documenting key technical decisions with context, alternatives considered, tradeoffs, consequences, and decision owners. Use when documenting "architecture decisions", "technical choices", "design decisions", or "ADRs".

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Low-level keylogger architecture design: kernel driver hooks (WH_KEYBOARD_LL, SetWindowsHookEx), ETW-based input capture, user-mode vs kernel-mode approaches, stealth techniques, and data exfiltration. Use for understanding input capture mechanisms, EDR evasion research, or malware architecture analysis.

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Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

日本語の概要は準備中です。原文の説明を表示しています。

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

日本語の概要は準備中です。原文の説明を表示しています。

Create process and architecture diagrams using Mermaid.js syntax

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ScepticAgent internal architecture reference. Use whenever the user asks how the extension works, wants to add a new AI provider, add a new highlight category, debug communication between components, understand the agent loop or streaming, or work with provider routing and the Gemini CORS proxy.

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Build production-grade AI agents from scratch using patterns inspired by production-grade agentic systems like Claude Code. Covers two audiences — (1) workflow builders who need planner+executor pipelines, human-in-the-loop checkpoints, and multi-agent orchestration, and (2) application embedders who need HTTP/SSE APIs, multi-user session management, and React frontend integration. Use when asked to build an AI agent, create a coding assistant, embed an agent in an app, build an API agent, clone Claude Code, build a CLI agent, design an agent architecture, scaffold an agentic system, or automate a multi-step workflow. Triggers on keywords like agent builder, agent blueprint, coding assistant, CLI agent, agentic tool, claude code clone, agent scaffold, agent architecture, workflow automation, multi-agent, planner executor, SSE streaming, agent API.

日本語の概要は準備中です。原文の説明を表示しています。